Pre-seed · concept stage

Read the biology, point the drill.

Active offshore methane systems leave a microbial fingerprint on the seafloor. We're building a biology-first pre-screen that reads it — before anyone commits a survey vessel or an exploratory well. Target basins reach 4,000 meters; today's in-situ sensing has only been proven to about 1,800.

$25–100M+ cost of a single offshore exploratory well
~90% of sediment methane consumed by the microbial filter we read
None known competitors we've found screening biology before geophysics
The problem

Exploration today is geology-first — and it ignores biology entirely.

Operators screen the seabed with seismic surveys and confirm with exploratory wells. Both are slow, expensive, and indifferent to a signal that's been sitting in the sediment the whole time.

Costly and high-risk

Offshore exploratory wells run $25–100M+ each, with high dry-hole risk on frontier acreage — and survey vessels alone cost roughly $200K a day.

A direct biological signal

Where methane seeps, specific microbes thrive at the sulfate–methane transition zone. Their presence is physical evidence of an active system below.

No one screens biology first

It's treated as an afterthought today. Using it as the primary screen, then confirming with geophysics, is the unexplored idea.

How it works

Three layers, ordered by depth.

None of it is built yet — this is the plan a pre-seed round exists to test.

Conceptual simulation of the planned system — illustrative, not actual deployment footage.
System diagram: payload, platform, and prediction layer A diagram showing the in-situ bio-sensing payload at the seafloor, carried by an autonomous platform, sending a biological signal up to a prediction layer that fuses it with geophysics data. PREDICTION LAYER + geophysics payload + platform methane-probability model survey map
SEAFLOOR

In-situ bio-sensing payload

A miniaturised molecular assay — qPCR for the mcrA marker gene, sequencing for context — that runs entirely at depth and returns a result without a shore lab.

DELIVERY

Autonomous platform

A vehicle that carries the payload to the seabed and obtains a sediment-accessible sample — the hardest open engineering question, and the one this round exists to answer.

OUTPUT

Prediction & data layer

Models that fuse the biological signal with geophysics and bathymetry to map methane probability, and improve with every survey.

Honest readiness

Component technologies exist; the integrated system is early — roughly TRL 3–4. This round moves the core method from concept to evidence. We don't claim it's near-ready.

Market opportunity

Start with exploration survey & data.

The honest near-term market is the survey and exploration-data services operators already pay for to de-risk where they look. We size only the slice we can actually serve.

TAM — $8–9B

Offshore geophysical survey & exploration-data services (2024), heading toward ~$13B by 2033.

SAM — ~$1–2B

The exploration de-risking & direct-screening slice our bio-survey and data products attach to.

Early SOM — low tens of $M

A few paid surveys plus first data subscriptions in roughly 3–5 years — contingent on validation.

Why us

Everyone reads the rock. No one reads the life.

Incumbents map structures that might hold gas, or detect seepage indirectly. None screen the biology that marks an active system — that's our opening, and we complement the tools operators already buy.

Capability Our platform Seismic survey Traditional AUV Exploratory drilling
Biological signal detection Core focus None Not addressed None
In-situ genetic sequencing Target: in-situ None Early prototypes Lab only (post-core)
Zero drilling required Yes Yes Yes No
Relative cost per survey area Low–Med (target) High Medium Very high
Pre-seed · raising $1.5M

Biology has been signalling methane on the seafloor for eons. We want to build the tool that finally reads it.